October 2019
Beginner to intermediate
674 pages
16h 43m
English
Content preview from Mastering pandas - Second Edition
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Data overview
The preceding DataFrame is the customer data of an automobile servicing firm. They basically provide services to their clients on a periodic basis. Each row in the DataFrame corresponds to a unique customer. Hence, it is customer-level data. Here is an observation from the data:
The shape of the DataFrame
We can observe that the data contains 27,002 records and 26 characteristics.
Before we start exploratory data analysis on any data, it is advised to know as much about the data as possible—the column names and their corresponding data types, whether they contain null values or not (and if so, how many), and so on. The following ...
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